About

The Centre for Advanced Spatial Analysis (CASA) was established in 1995 to lead the development of a science of cities drawing upon methods and ideas in modelling and data science, sensing the urban environment, visualisation and computation. 

Advancing Urban Science through research and collaboration

Today, CASA’s research is still pushing boundaries to create better cities for everyone, both leading the intellectual agenda and working closely with government and industry partners to make real-world impact.​ Our teaching reflects this, making the most of our cutting-edge research, tools, new forms of data, and long-standing non-academic partnerships to train the next generation of urban scientists with the skills and ideas they’ll need to have an impact in industry, government, academia, and the third sector. 

The CASA community is closely connected, but strongly interdisciplinary. We bring together people from around the world with a unique variety of backgrounds – including physicists, planners, geographers, economists, data scientists, architects, mathematicians and computer scientists – united by our mission to tackle the biggest challenges facing cities and societies around the world.​ We work across multiple scales: from the hyper-local environment of the low-powered sensor all the way up to satellite remote sensing of whole countries and regions.

Studying at CASA

Studying at CASA brings lifelong value, with our students poised to take on leadership and integration roles at the forefront of urban and spatial data science.​ By studying with us you will become part of our active and engaged alumni community, with access to job listings, networking and social activities, as well as continued contact with our outstanding teachers and researchers.​

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Working at CASA

We employ around 40 permanent academic, professional services and research staff, and our researchers, students and alumni work at the cutting edge of this interdisciplinary science. Our research tools and models frequently inform systems ranging from urban planning to museum, retail, and heritage applications and onwards to social network understanding. Vacancies in the department will be published on the UCL Jobs page.

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